Triple

T11956781
Position Surface form Disambiguated ID Type / Status
Subject Younger E284572 entity
Predicate character P662 FINISHED
Object Lauren Heller E1053269 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lauren Heller | Statement: [Younger, character, Lauren Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Heller
Context triple: [Younger, character, Lauren Heller]
  • A. Lauren Heller chosen
    Lauren Heller is one of the central sisters whose complicated personal and professional life drives much of the drama and humor in the TV series "Younger."
  • B. Lauren Resnick
    Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
  • C. Lauren Silverman
    Lauren Silverman is an American socialite best known for her long-term relationship with television personality and music executive Simon Cowell.
  • D. Lauren Harris
    Lauren Harris is a central character in the British television drama series "Fat Friends," which follows the lives, relationships, and weight-loss struggles of members of a slimming club in Leeds.
  • E. Lauren Gross
    Lauren Gross is a venture capitalist and partner at the Silicon Valley investment firm Founders Fund.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7941721d08190900ca872503055db completed May 3, 2026, 6:29 p.m.
Created at: April 8, 2026, 9:45 p.m.